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Generative Intrinsic Optimization: Intrinsic Control with Model Learning
v1v2 (latest)

Generative Intrinsic Optimization: Intrinsic Control with Model Learning

12 October 2023
Jianfei Ma
ArXiv (abs)PDFHTML

Papers citing "Generative Intrinsic Optimization: Intrinsic Control with Model Learning"

15 / 15 papers shown
Title
Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map
  Them to Actions
Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions
J. Schmidhuber
65
131
0
05 Dec 2019
Self-Supervised Exploration via Disagreement
Self-Supervised Exploration via Disagreement
Deepak Pathak
Dhiraj Gandhi
Abhinav Gupta
SSL
81
382
0
10 Jun 2019
World Discovery Models
World Discovery Models
M. G. Azar
Bilal Piot
Bernardo Avila-Pires
Jean-Bastien Grill
Florent Altché
Rémi Munos
74
26
0
20 Feb 2019
Soft Actor-Critic Algorithms and Applications
Soft Actor-Critic Algorithms and Applications
Tuomas Haarnoja
Aurick Zhou
Kristian Hartikainen
George Tucker
Sehoon Ha
...
Vikash Kumar
Henry Zhu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
136
2,445
0
13 Dec 2018
Model-Based Active Exploration
Model-Based Active Exploration
Pranav Shyam
Wojciech Ja'skowski
Faustino J. Gomez
86
179
0
29 Oct 2018
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term
  Memory (LSTM) Network
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network
A. Sherstinsky
74
3,725
0
09 Aug 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
175
5,187
0
26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
311
8,352
0
04 Jan 2018
Unsupervised Real-Time Control through Variational Empowerment
Unsupervised Real-Time Control through Variational Empowerment
Maximilian Karl
Maximilian Soelch
Philip Becker-Ehmck
Djalel Benbouzid
Patrick van der Smagt
Justin Bayer
59
55
0
13 Oct 2017
Reinforcement Learning with Deep Energy-Based Policies
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja
Haoran Tang
Pieter Abbeel
Sergey Levine
108
1,340
0
27 Feb 2017
Unifying Count-Based Exploration and Intrinsic Motivation
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare
S. Srinivasan
Georg Ostrovski
Tom Schaul
D. Saxton
Rémi Munos
174
1,478
0
06 Jun 2016
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
320
13,248
0
09 Sep 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
127
12,231
0
19 Dec 2013
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic
  Environments
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments
Yi Sun
Faustino J. Gomez
Jürgen Schmidhuber
111
163
0
29 Mar 2011
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